Ragini Kihlman

According to our database, Ragini Kihlman authored at least 5 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Improving classification through co-training approaches.

Ragini Kihlman

PhD thesis, 2023

Multi-label Co-training using a Graph neural network.

Ragini Kihlman, Maria Fasli

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Improving the co-training algorithm to enhance semi-supervised learning results.

Ragini Kihlman, Maria Fasli

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Classifying human rights violations using deep multi-label co-training.

Ragini Kihlman, Maria Fasli

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Augmenting Co-Training With Recommendations to Classify Human Rights Violations.

Ragini Kihlman, Maria Fasli

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019